Open Call HORIZON-HLTH-2023-IND-06-07: Development and Harmonisation of Methodologies for Assessing Digital Health Technologies in Europe

European CommissionThis topic aims at addressing digital transition challenges through supporting activities that are enabling or contributing to one or several expected impacts of destination 6 "Maintaining an innovative, sustainable and globally competitive health industry". More specifically, this topic aims at supporting activities that are contributing to the following impact area: "High quality digital services for all". To that end, proposals under this topic should aim to deliver results that are directed towards and contributing to all of the following expected outcomes:
  • Policymakers in the EU have at their disposal a methodological framework and standardised approaches for assessing digital health technologies, that helps them make evidence-based decisions regarding the introduction of digital health technologies in their health and care systems with added value for patients and society.
  • Regulators have access to robust, scientifically underpinned evaluation methodologies.
  • EU citizens gain faster access to safe and well-performing person-centred digital technologies and are empowered through these tools.
  • Health technology developers are better informed and dispose of more guidance on the evidence needed to demonstrate the added value of digital health technologies and have better insights on market predictability.
  • (Digital) Health Industry/digital health technology developers and HTA bodies can contribute to the development of EU harmonised Health Technology Assessment (HTA) rules based on common principles.
  • Improved cross-border use and interoperability of digital health tools and services throughout the EU and Associated Countries.
  • Increased trust in digital health technologies and better integration of digital health tools and services in health and care systems.

Digital health technologies have been driving a revolution in health and care ranging from general use of computers to algorithms designed to assist radiologists and radiotherapists in detecting and treating diseases, from robotic surgery to artificial intelligence, machine learning, computer aided decision models, and from mobile apps helping patients to self-manage their disease to electronic health records.

Digital health technologies are expected to further contribute to better people-centred health and care systems and have the vast potential to improve our ability to accurately prevent, diagnose and treat diseases.

However, assessing the added value and health benefits for patients and society pose a number of challenges in particular of methodological and technical nature. Best practice for common approaches in methodology for digital health are lacking, especially in the digital health tools that include artificial intelligence algorithms. A framework for the assessment of the digital transformation of health services and its impact is vital to generate the evidence required for decision-making on stimulating, using and/or funding digital health strategies at various levels in the health and care systems.

The Expert Panel on effective ways of investing in Health (EXPH) recommended in its report 'Assessing the impact of digital transformation of health services', further investment in the development of assessment methodologies and in a European repository for evaluation methods and evidence of digital health services.

To date, such assessment frameworks are relatively scarce, especially those addressing the transformative aspects of healthcare delivery on the organisational and operational level.

The proposals are expected to develop and harmonise methodologies for assessing digital health technologies (including mhealth apps and telehealth, as well as Artificial Intelligence powered health technologies) in order to facilitate assessment of their added value at individual, health system and society levels and facilitate the cross-border deployment of digital health services within the EU. Existing Health Technology Assessment (HTA) methodology is well developed for health technologies such as medicinal products, but also for some categories of medical devices; however digitalisation raises new methodological challenges to the standardisation of assessment criteria such as privacy, cybersecurity, data storage and handling, interoperability, usability etc. Also including aspects like learning curves, iterative development of innovations, variability between settings, determining optimal timing of evaluations in the development process (maturity) are not yet solved.

Proposals are expected to build on existing frameworks such as (but not restricted to) 'Model for Assessment of Telemedicine' (MAST framework - Kidholm et al., 2012) and the results of previous EU-funded projects in particular (but not restricted to) COMED, project that already identified HTA challenges of telehealth and mhealth, and mHealth hub.

Proposals should consider involving the JRC to take advantage of its expertise on assessment frameworks of innovative health technologies and its activities at the interface between research and regulatory aspects and/or in translating assessment results into best practice recommendations anchored in EU policies. In that respect, the JRC is open to collaborate with any successful proposal after its approval.

Opening date: 12 January 2023

Deadline: 13 April 2023 17:00:00 Brussels time

Deadline Model: single-stage

Type of action: HORIZON-RIA HORIZON Research and Innovation Actions

For topic conditions, documents and submission service, please visit:
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-hlth-2023-ind-06-07

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...